watermill
ent
watermill | ent | |
---|---|---|
23 | 145 | |
6,756 | 14,951 | |
1.6% | 1.2% | |
7.1 | 8.1 | |
7 days ago | 5 days ago | |
Go | Go | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
watermill
-
Microservices communication
I’ve successfully worked on projects using an asynchronous event-driven way of connecting services. I really like the decoupling of business logic and the events triggering it. I highly recommend https://github.com/ThreeDotsLabs/watermill to be more flexible when it comes to choosing the actual technology driving the async patter. It might be NATS today but requirements might change and you need to change. Watermill prepares you for this.
-
Public chatroom websocket project in Go
Highly recommend https://watermill.io lib for building async apps (using among others pub/sub patterns). It greatly decouples your code from the underlying technology and gives you the freedom to choose depending on the environment (e.g dev, prod). For dev or small scale purposes, it supports pub/sub purely based on go channels.
-
How did you solve the problem of transactions between different databases and services?
Look at this library: https://github.com/ThreeDotsLabs/watermill
-
Examples of using task scheduler with Go?
Watermill is a good pubsub abstraction. You can start with native go channels and grow into a cloud pubsub or Kafka/Pulsar if you need to.
-
Small EDA/Micro service Project
These conditions have led me to discover two packages watermill.io and go-kit. Both of these seem to do what I want and I am thinking of implementing the project using watermill and go Chanels and deploying to a server or some sort.
-
Event Observer Pattern in Go
github.com/ThreeDotsLabs/watermill package provides a framework for building event-driven applications. It allows easy communication between independent components by decoupling the sender and the receiver.
-
I've just started learning Golang, and I'm struggling to choose a framework.
My personal favorite tools: - https://github.com/go-kit/ for building services (although it's not necessary a great tool for prototyping) - https://github.com/gorilla/mux router (although it's been recently deprecated, so I'm looking for a similar, maintained library) - https://entgo.io/ ORM - https://watermill.io/ for messaging
- How to handle events: an interactive example of consumer groups
- I’m looking for a suggestion for a queuing library
-
Looking for a mature distributed task queuer/scheduler in go
Checkout https://watermill.io/
ent
-
Concurrency Control in Go with Ent ORM and MySQL
In this article, we'll delve into the world of concurrency control in Go, specifically focusing on the optimistic locking approach. We'll explore its implementation using Ent ORM to illustrate how to manage data consistency when multiple users interact with the same resource. Keep in mind that this example serves as a simplified illustration, and real-world booking systems involve a many of additional complexities. However, the core concepts presented here provide a solid foundation for understanding optimistic locking in Go applications. Feel free to explore the complete source code in my GitHub repository for a more in-depth look at the implementation.
-
Go ORMs Compared
ent is a fairly recent ORM that uses a code-first approach where you define your schema in Go code. Ent is popular thanks to its ability to handle complex data models and relationships elegantly. It's statically typed, which can help catch errors at compile time. However, the learning curve might be steeper compared to more straightforward ORMs like GORM. It's a good fit for applications where complex data models and type safety are priorities.
-
Stop using entgo...please
If you found this article, than you are probably similar to how I was a few months ago. I started a project in Go that required a SQL backend and I wanted to use any tool that would help me build this backend quickly. I stumbled upon entgo (an ORM for Go) and decided to give it a try.
- Pocketbase: Open-source back end in 1 file
-
Why Golang instead of Rust to develop the Krater desktop app
The ent orm for golang actually does some useful work for you. https://github.com/ent/ent
- Open-sourcing SQX, a way to build flexible database models in Go
-
Learning Go for Backend/Fullstack development?
Backend Database interaction with entgo
- Ent ORM for Golang
- My Issue With ORMs
-
What project architecture/structure would you recommend?
You can use entgo.io for ORM stuff, it also has entgql extension that integrated with GQLGen. See more at the document: https://entgo.io/docs/tutorial-todo-gql
What are some alternatives?
eventhorizon - Event Sourcing for Go!
GORM - The fantastic ORM library for Golang, aims to be developer friendly
go-kit - A standard library for microservices.
SQLBoiler - Generate a Go ORM tailored to your database schema.
Benthos - Fancy stream processing made operationally mundane
sqlc - Generate type-safe code from SQL
pulse - ☁EventBus on Portable Pub/Sub Components☄
sqlx - general purpose extensions to golang's database/sql
wild-workouts-go-ddd-example - Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
Xorm
go-rabbitmq - A wrapper of streadway/amqp that provides reconnection logic and sane defaults
go-pg - Golang ORM with focus on PostgreSQL features and performance